Browsing by Author "Zhao, Yage"

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    Direct and Inverse Design of Near-field Nanostructure
    (2021-07-30) Zhao, Yage; Nordlander, Peter
    Metallic and dielectric nanostructures with various plasmonic and dielectric resonances are the fundamental of all nanophotonics research. The design of different geometries for these nanostructures have always been one of the main topics in this field. Based on different theoretical models and phenomena, various geometries have been tested out in the past decades. However, the pursuit of better and faster design method is still one of the major concerns. The first part of the thesis presents the direct-design process of a 3D plasmonic antenna-reactor for strong field enhancement and temperature gradient. It is shown how the understanding of a phenomenon can serve as the guideline of optimizing the geometry. In the second chapter, we further discuss the possibility of utilizing computer algorithm to optimize geometries more complex and less intuitive without a clear physical insight.
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    Fast Topology Optimization Based on GPU Accelerated Discrete Dipole Approximation and Its Applications in Nanophotonics
    (2023-04-18) Zhao, Yage; Nordlander, Peter
    Fast and reliable inverse design has long been a sought-after goal in the field of nanophotonics, particularly in light of the rapid advancements in computational science and numerical tools. In this work, we present a novel approach for topology optimization involving a GPU-accelerated Discrete Dipole Approximation (DDA) algorithm, seamlessly integrated with other cutting-edge techniques to enhance its accuracy, speed, and robustness. Utilizing this sophisticated computational framework, we have designed a range of highly efficient nanostructures and conducted an in-depth exploration of the underlying physics. The first and second parts provide a comprehensive description of the algorithm's implementation and performance. The third section showcases several nanostructures designed using the proposed algorithm, elucidating the associated physics and demonstrating the effectiveness of our approach in addressing contemporary challenges in nanophotonic device engineering.